Abstract. Atmospheric methane is comprised of multiple isotopic molecules, with the most abundant being 12 CH 4 and 13 CH 4 10 making up 98% and 1.1% of atmospheric methane respectively. It has been shown that is it possible to distinguish between sources of methane (biogenic methane, e.g. marshland or abiogenic methane, e.g. fracking) via a ratio of these main methane isotopologues, otherwise known as the δ 13 C value. δ 13 C values typically range between -10 and -80 per mil, with abiogenic sources closer to zero, and biogenic sources showing more negative values. Initially, we suggest that a δ 13 C difference of 10 per mil is sufficient, in order to differentiate between methane source types, based on this we derive that a precision of 15 0.25ppbv on 13 CH 4 retrievals may achieve the target δ 13 C variance. Using an application of the well established Information Content Analysis (ICA) technique for assumed clear sky conditions, this manuscript shows that using a combination of the Shortwave Infrared (SWIR) bands on the planned Greenhouse gases Observing SATellite (GOSAT)-2 mission, 13 CH 4 can be measured with sufficient Information Content (IC) to a precision of between 0.7 and 1.2ppbv from a single sounding (assuming a total column average value of 19.14ppbv), which can then be reduced to the target precision through spatial and 20 temporal averaging techniques. We, therefore, suggest that GOSAT-2 can be used to differentiate between methane source types. Large unconstrained 'a priori' covariance matrices are required in order to achieve sufficient information content and that varying the solar inclination angle has limited impact on information content or retrieval errors.